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Saving a model build in R or Python in the repository for re-use

Typically in Rapidminer, we can save the resulting models from algorithms by using a simple "Store" operator.

We can then double-click those models and see their contents and we can also drop them into a new process and use them to score new data.

We can do this also when these models have been built in R or Python with the only difference that we cannot see inside the model artifacts. For example, if we drop and double-click a model build in Python or R, we get a fileobject without much description.

However, the model is there and can be used to score data without re-training.

See the example below:

Here, we have a gradient boosted trees model built in python and saved to the repository.

When trying to preview it, we get this:

However, if we build another process where we bring the model artifact in and apply it to data, it works!